openloom 0.7.0

OpenLoom: a lightweight agent task harness — schedule, monitor, and verify AI coding tasks.

OpenLoom

Don't trust the agent's word — trust the file system.

OpenLoom is a lightweight harness and observer for OpenCode. It schedules tasks, watches sessions, and verifies completion with file-system checks instead of model self-reports.

OpenLoom does not replace OpenCode. It fills the gaps in OpenCode's HTTP API: session monitoring, task plans, periodic checks, a web dashboard, and token usage summaries.

Install

Requires Python 3.11+ and a running OpenCode server.

pip install openloom
# or
uv tool install openloom

Web dashboard (FastAPI + bundled Svelte UI):

pip install "openloom[ui]"

Optional extras (install only what you need):

Extra	Purpose
ui	Web dashboard (openloom serve, openloom watch --ui)
server	Same as ui (team server mode alias)
openspec	OpenSpec checkbox completion checks
github	GitHub integration
validate	Pre-archive validation hooks (uses your project's pytest/mypy)

There is intentionally no [all] extra — pick capabilities as you grow.

Quick start

1. Configure OpenCode connection

export OPENLOOM_OPENCODE_URL=http://127.0.0.1:14096
export OPENLOOM_OPENCODE_USERNAME=opencode
export OPENLOOM_OPENCODE_PASSWORD=your-password

Optional: restrict which workspace paths tasks may use:

export OPENLOOM_ALLOWED_ROOTS=/Users/you/Projects

See .env.example for all variables.

2. CLI — watch a task spec

openloom init                    # writes openloom.yaml in cwd
openloom watch                   # run harness from openloom.yaml
openloom watch --ui              # same + local web UI (needs [ui])
openloom status
openloom log <task-id-prefix>

Example spec (openloom.yaml):

name: Fix SSE reconnect
workspace: /path/to/project
check_interval_minutes: 5   # 0 = send once, no periodic checks
goal: |
  Fix SSE reconnect after network drop.
steps:
  - Investigate current SSE implementation
  - Implement reconnect with backoff
  - Add regression coverage

3. Web dashboard — multi-task server

pip install "openloom[ui]"
openloom serve --host 127.0.0.1 --port 55413

Open http://127.0.0.1:55413 for:

• Dashboard — session token usage, by-model breakdown, period summaries
• Activity — tasks, archived tasks, sessions by workspace
• New Task — plan with goal/steps/acceptance, attach to workspace or existing session

The UI static assets are pre-built inside the wheel — no Node.js required at install time.

Architecture (short)

core/      Harness, store, event bus, Source / Checker / Sink ABCs (≤600 lines)
runtime/   OpenCode HTTP client, session status, prompts
levels/    Progressive capabilities (manual, config, openspec, ui, …)
server/    FastAPI app + routes + static UI ([ui] extra)

State changes flow: store write → event emit. API routes read the store; the event bus pushes notifications only.

Development

uv sync
uv run pytest

# Rebuild frontend into the package (before release)
cd frontend && npm install && npm run build
cd .. && uv build

License

MIT — see LICENSE.